Newman H, Li Y, Huang YV, Elgarten CW, Myers RM, Ruiz J, Zheng DJ, Leahy AB, Aftandilian C, Arnold SD, Bona K, Gramatges MM, Heneghan MB, Maloney KW, Modi AJ, Mody RJ, Morgan E, Rubnitz J, Winick N, Wilkes JJ, Seif AE, Fisher BT, Aplenc R, Getz KD. Household income and health-related quality of life in children receiving treatment for acute myeloid leukemia: Potential impact of selection bias in health equity research.
Cancer Med 2024;
13:e6966. [PMID:
38572962 PMCID:
PMC10993703 DOI:
10.1002/cam4.6966]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 12/28/2023] [Accepted: 01/15/2024] [Indexed: 04/05/2024] Open
Abstract
OBJECTIVE
Examine the influence of household income on health-related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML).
DESIGN
Secondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States.
EXPOSURE
Household income was self-reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity.
OUTCOME
Caregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey.
RESULT
Children with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2-20.2). Seven percent of enrolled patients presented with high acuity (ICU-level care in the first 72 h), and 16% had high toxicity (any ICU-level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction.
CONCLUSIONS
While primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research.
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